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STAFF RESEARCH SCIENTIST - SIGNAL PROCESSING
LOS ANGELES, CA / QUANTICO, VA
140,000 - 160,000 BASE SALARY + COMPETITIVE BENEFITS
How would feel knowing that your work contributes to the national defense mission of the United States? Are you interested in applying your machine learning skills and signal processing expertise to real-world applications and use cases? Your work will impact national defense by improving the detection and tracking systems of autonomous reconnaissance systems!
Harnham is working with a defense technology company that has been government classified for a long time. Their primary focus is object and image detection from satellite, aircraft, submarine, and other unattended detection/intelligence systems, using applied detection theory and signal processing techniques. If you are interested in solving complex machine learning problems related to international security, being a part of a smaller company (with profit-sharing), and working on classified projects, this is the role for you.
This organization is an industry leader in detection and tracking systems. They implement cutting-edge machine learning algorithms and simulation modeling approaches to solve complex, real-world problems. Much of the team is comprised of top performers from esteemed graduate and doctorate programs!
You will be at the center of the action - working closely with executive leaders and management across all organizational functions in defense of national security! With your combination of business acumen and technical expertise, you will have an opportunity to make a significant impact on a growing team responsible for strategic decision-making and R&D direction.
YOUR SKILLS AND EXPERIENCE:
The successful Staff Research Scientist - Signal Processing will have:
$140,000- $160,000 Base Salary + Competitive Benefits
How to Apply
Please register your interest using the Apply button on this page.
For more information on this role or other Data Science and Machine Learning roles, please contact Stephen McReynolds at Harnham.
Python, R, Matlab, C++, Machine Learning, ML, Natural Language Processing, NLP, Recommendation Engine, Recommender System, Spark, AWS, GCP, Amazon, Google, SQL, Hadoop, Hive, Bigquery, HDFS, Flink, Beam, Kafka, MySQL, NoSQL, Cassandra, HBase, Bigtable, Shell, Perl, Bash, Ruby, Java, Scala, Travis CI, Jenkins, Deep Learning, Bayesian Statistics, Text Analytics, Thompson Sampling, Probability, Multi-Class, Decision Tree, Vector Machine, Reinforcement Learning, Reward System, Modelling, Algorithm, Content Analysis, Sentiment Analysis, Data Scientist, Data Science, Machine Learning Engineer, Big Data, Scikit, Scikit-learn, TensorFlow, PyTorch, Keras, NumPy, CNN, RNN, NLTK, LSTM, Physics, GeoPhysics, Geology, Oceanography, Top Secret, TS, TS/SCI, Top Secret/SCI, Security Clearance, Secret, Defense, Defense and Space, Government, Intelligence, Surveillance, Security, DoD, Department of Defense, Applied Mathematics, Computer Science
US$680 - US$800 per day + remote working, potential for extension
San Francisco, California
An exciting opportunity for a Machine Learning Engineer experienced in working with R, Python, TensorFlow, and Spark in a big data environment.
Do you want the opportunity to work with a company who is combining AI, experimental biology, and automation to discover drugs and treatments?
US$220000 - US$240000 per annum
San Francisco, California
Do you want to work for a company who is the leader in the mobile advertising space? Do you want to apply deep learning and work with a lot of data?
US$270000 - US$290000 per annum + bonus and benefits
Looking for a Sr Director to lead a world class team towards clinical trials and drug discovery innovation. Leadership in DS and background with RWD required.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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